新闻
Decomposition Buys Integrity, Not Yield
arXiv cs.AI · 发布于 · 阅读约3分钟
30秒读懂
- 发生了什么
- Research shows task decomposition across agent trees preserves accuracy but reduces output yield, with costs that often outweigh benefits.
- 为何重要
- Engineers building multi-agent systems need to weigh integrity gains against throughput losses when deciding whether to split tasks hierarchically.
- 注意
- The model predicts only 0.7 to 11.3 percent of production sessions warrant delegation, yet 7.8 percent currently use it, suggesting widespread over-delegation.
- agent
- multi-agent
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- Deep Research Agent
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